DEİK embedding
Collection
5 items • Updated
How to use SMARTICT/embeddinggemma_deik_finetune_GGUF with sentence-transformers:
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("SMARTICT/embeddinggemma_deik_finetune_GGUF")
sentences = [
"The weather is lovely today.",
"It's so sunny outside!",
"He drove to the stadium."
]
embeddings = model.encode(sentences)
similarities = model.similarity(embeddings, embeddings)
print(similarities.shape)
# [3, 3]How to use SMARTICT/embeddinggemma_deik_finetune_GGUF with llama.cpp:
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible embeddings server: llama serve -hf SMARTICT/embeddinggemma_deik_finetune_GGUF:Q4_K_M --embeddings
winget install llama.cpp # Start a local OpenAI-compatible embeddings server: llama serve -hf SMARTICT/embeddinggemma_deik_finetune_GGUF:Q4_K_M --embeddings
# Download pre-built binary from: # https://github.com/ggerganov/llama.cpp/releases # Start a local OpenAI-compatible embeddings server: ./llama-server -hf SMARTICT/embeddinggemma_deik_finetune_GGUF:Q4_K_M --embeddings
git clone https://github.com/ggerganov/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-server llama-cli # Start a local OpenAI-compatible embeddings server: ./build/bin/llama-server -hf SMARTICT/embeddinggemma_deik_finetune_GGUF:Q4_K_M --embeddings
How to use SMARTICT/embeddinggemma_deik_finetune_GGUF with Ollama:
ollama run hf.co/SMARTICT/embeddinggemma_deik_finetune_GGUF:Q4_K_M
How to use SMARTICT/embeddinggemma_deik_finetune_GGUF with Docker Model Runner:
docker model run hf.co/SMARTICT/embeddinggemma_deik_finetune_GGUF:Q4_K_M
How to use SMARTICT/embeddinggemma_deik_finetune_GGUF with Lemonade:
# Download Lemonade from https://lemonade-server.ai/ lemonade pull SMARTICT/embeddinggemma_deik_finetune_GGUF:Q4_K_M
lemonade run user.embeddinggemma_deik_finetune_GGUF-Q4_K_M
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